JP7385286B2 - 人工知能基盤解像度改善システム - Google Patents
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Description
発明の実施のための形態
Claims (5)
- 使用者器機側の要請に対応して、要請されたビデオデータを使用者器機に伝送するサービスを行い、保有したビデオデータに基づいてイメージ情報の解像度を改善するための人工神経網アルゴリズム動作に要求される汎用神経網ファイルを生成し、前記生成された汎用神経網ファイル及び解像度を既設定された水準以下に変更した低画質ビデオデータを前記使用者器機に伝送するサーバーと、
前記サーバーから受信される低画質ビデオデータに前記受信された汎用神経網ファイルを適用した人工神経網アルゴリズムに基づいた演算動作を行い、前記演算動作によって前記低画質ビデオデータの解像度を改善し、前記解像度が改善されビデオデータを再生する使用者器機と、を含み、
前記サーバーは、イメージデータの解像度を人工神経網基盤の演算を通じて改善するために要求されるファイルである汎用神経網ファイルを生成する制御部を含み、
前記制御部は、ビデオデータの画質改善のために要求される汎用神経網ファイルを算出するために必要な学習用資料を収集及び加工する資料加工部を含み、
前記資料加工部は、ビデオデータを構成するイメージのサイズを原本サイズから既設定された比率で縮小させて解像度の低下によって格子が発生された加工データを生成するサイズ変更部と、
ビデオデータ内の複数のフレームをイメージ客体の一致率に基づいて分割する映像分割部と、
ビデオデータの分割単位別特徴領域を抽出し、フレーム内に含まれたイメージ客体の重要度が既設定された値以上である場合、該イメージ客体が表示される領域を特徴領域として抽出する特徴領域抽出部と、を含むことを特徴とする解像度改善システム。 - 前記制御部は、神経網学習部を含み、
前記神経網学習部は、人工神経網アルゴリズム演算に要求される初期パラメーターを設定するパラメーター設定部と、
原本データと原本データのサイズを縮小して解像度を低めた加工データを比較して原本データのサイズの縮小過程で生成された格子の生成パターン情報を算出し、格子生成パターン情報に基づいて加工データ上の格子を除去するのに要求される人工神経網パラメーターを算出し、算出されたパラメーターを含む神経網ファイルを生成する神経網ファイル算出部と、を含むことを特徴とする請求項1に記載の解像度改善システム。 - 前記制御部は、使用者器機で神経網ファイルを適用した結果データの解像度の向上程度を判断し、前記結果データと既保有された原本データとの誤差率を基づいて神経網ファイルを構成するパラメーターの修正可否を判断する結果評価部を含むことを特徴とする請求項1に記載の解像度改善システム。
- 前記制御部は、使用者のストリーミング要請記録、ダウンロード記録に基づいて使用者のVODサービスに対する使用パターンを算出して保存する使用パターン算出部を含むことを特徴とする請求項1に記載の解像度改善システム。
- 前記使用者器機は、出力要請されたビデオデータの解像度を判断し、実行要請されたビデオデータの解像度が既設定された水準以下で、解像度の改善が要求される状態と判断される場合、解像度の変換を要請するビデオ再生部と、
神経網ファイルの既保有有無を判断し、汎用神経網ファイルが存在しない場合、サーバーに要請して汎用神経網ファイルをダウンロードし、汎用神経網ファイルに基づいた人工神経網アルゴリズムを駆動して低画質データを要請された解像度に変換する解像度変換部と、を含むことを特徴とする請求項1に記載の解像度改善システム。
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KR1020190046953A KR102082815B1 (ko) | 2018-04-24 | 2019-04-22 | 인공지능 기반 해상도 개선 시스템 |
PCT/KR2019/004890 WO2019209005A1 (ko) | 2018-04-24 | 2019-04-23 | 인공지능 기반 해상도 개선 시스템 |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3567857A1 (en) | 2017-07-06 | 2019-11-13 | Samsung Electronics Co., Ltd. | Method for encoding/decoding image and device therefor |
US11368758B2 (en) * | 2018-05-21 | 2022-06-21 | Gdflab Co., Ltd. | VOD service system based on AI video learning platform |
US20190392312A1 (en) * | 2018-06-21 | 2019-12-26 | Deep Force Ltd. | Method for quantizing a histogram of an image, method for training a neural network and neural network training system |
WO2020080765A1 (en) | 2018-10-19 | 2020-04-23 | Samsung Electronics Co., Ltd. | Apparatuses and methods for performing artificial intelligence encoding and artificial intelligence decoding on image |
WO2020080665A1 (en) | 2018-10-19 | 2020-04-23 | Samsung Electronics Co., Ltd. | Methods and apparatuses for performing artificial intelligence encoding and artificial intelligence decoding on image |
US11877018B2 (en) * | 2019-11-15 | 2024-01-16 | Korea Advanced Institute Of Science And Technology | Live video ingest system and method |
KR102524547B1 (ko) * | 2019-11-28 | 2023-04-24 | 울산과학기술원 | 무손실 이미지 압축을 위한 데이터 압축 및 복원 장치 |
KR102287942B1 (ko) * | 2020-02-24 | 2021-08-09 | 삼성전자주식회사 | 전처리를 이용한 영상의 ai 부호화 및 ai 복호화 방법, 및 장치 |
KR20210127412A (ko) * | 2020-04-14 | 2021-10-22 | 삼성전자주식회사 | Ai 다운스케일 장치 및 그 동작방법, 및 ai 업스케일 장치 및 그 동작방법 |
CN113556496B (zh) * | 2020-04-23 | 2022-08-09 | 京东方科技集团股份有限公司 | 视频分辨率提升方法及装置、存储介质及电子设备 |
US11436703B2 (en) * | 2020-06-12 | 2022-09-06 | Samsung Electronics Co., Ltd. | Method and apparatus for adaptive artificial intelligence downscaling for upscaling during video telephone call |
KR20220081648A (ko) * | 2020-12-09 | 2022-06-16 | 삼성전자주식회사 | Ai 부호화 장치 및 그 동작방법, 및 ai 복호화 장치 및 그 동작방법 |
US11943271B2 (en) | 2020-12-17 | 2024-03-26 | Tencent America LLC | Reference of neural network model by immersive media for adaptation of media for streaming to heterogenous client end-points |
KR102271371B1 (ko) * | 2020-12-24 | 2021-06-30 | 전남대학교산학협력단 | 네트워크 트래픽 절감을 위한 모바일 엣지 컴퓨팅 기반 슈퍼-레졸루션 스트리밍 영상 전송 시스템 |
CN112802338B (zh) * | 2020-12-31 | 2022-07-12 | 山东奥邦交通设施工程有限公司 | 一种基于深度学习的高速公路实时预警方法及系统 |
KR102537163B1 (ko) * | 2021-06-16 | 2023-05-26 | 주식회사 엘지유플러스 | 단말기, 클라우드 서버 및 클라우드 증강현실(ar) 플랫폼의 영상 송수신 시스템 및 그 방법 |
WO2023286881A1 (ko) * | 2021-07-12 | 2023-01-19 | 엘지전자 주식회사 | 영상표시장치 및 이를 포함하는 시스템 |
KR20230023460A (ko) * | 2021-08-10 | 2023-02-17 | 삼성전자주식회사 | 어플리케이션에 따라 ai 기반으로 영상을 재생하는 전자 장치 및 이에 의한 영상 재생 방법 |
KR102634627B1 (ko) * | 2021-12-14 | 2024-02-08 | 주식회사 카이 | 라이브 스트리밍 방법 및 장치 |
TWI809727B (zh) * | 2022-02-22 | 2023-07-21 | 國立陽明交通大學 | 利用三維重建地圖搜尋路徑之方法 |
CN114845138A (zh) * | 2022-04-26 | 2022-08-02 | 三星电子(中国)研发中心 | 自适应流媒体的超分辨率重建方法和装置及服务器 |
KR102596384B1 (ko) * | 2023-02-22 | 2023-10-30 | 진병선 | 인공 지능 연산을 위한 신경망 처리 유닛이 구비된 카메라 장비 |
KR102647960B1 (ko) * | 2023-10-11 | 2024-03-15 | 주식회사 지솔 | AI Vision 기반의 객체 이미지 고해상도 고화질 변환 기법을 적용한 초지능 객체 분석 방법 및 시스템 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007036789A (ja) | 2005-07-28 | 2007-02-08 | Casio Comput Co Ltd | コンテンツ再生装置、コンテンツ配信装置及びプログラム |
WO2007029443A1 (ja) | 2005-09-09 | 2007-03-15 | Matsushita Electric Industrial Co., Ltd. | 画像処理方法、画像記録方法、画像処理装置および画像ファイルフォーマット |
JP2017103744A (ja) | 2015-12-04 | 2017-06-08 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | 画像復号方法、画像符号化方法、画像復号装置、画像符号化装置、及び画像符号化復号装置 |
JP2017195429A (ja) | 2016-04-18 | 2017-10-26 | ルネサスエレクトロニクス株式会社 | 画像処理システム、画像処理方法及び画像送信装置 |
US20170347061A1 (en) | 2015-02-19 | 2017-11-30 | Magic Pony Technology Limited | Machine Learning for Visual Processing |
US20170346865A1 (en) | 2016-05-31 | 2017-11-30 | Ooyala, Inc. | Limiting key request rates for streaming media |
JP6276901B1 (ja) | 2017-05-26 | 2018-02-07 | 楽天株式会社 | 画像処理装置、画像処理方法、および画像処理プログラム |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5293454A (en) * | 1989-03-08 | 1994-03-08 | Sharp Kabushiki Kaisha | Learning method of neural network |
US6735253B1 (en) * | 1997-05-16 | 2004-05-11 | The Trustees Of Columbia University In The City Of New York | Methods and architecture for indexing and editing compressed video over the world wide web |
US7149262B1 (en) * | 2000-07-06 | 2006-12-12 | The Trustees Of Columbia University In The City Of New York | Method and apparatus for enhancing data resolution |
IL160981A0 (en) * | 2001-09-26 | 2004-08-31 | Interact Devices Inc | System and method for communicating media signals |
CN102823242B (zh) * | 2010-01-22 | 2016-08-10 | 汤姆森特许公司 | 基于取样超分辨率视频编码和解码的方法和装置 |
KR101344828B1 (ko) * | 2012-02-27 | 2013-12-26 | (주)티그레이프 | 디지털 콘텐츠 유통 방법 및 시스템 |
US9940539B2 (en) | 2015-05-08 | 2018-04-10 | Samsung Electronics Co., Ltd. | Object recognition apparatus and method |
KR102450971B1 (ko) | 2015-05-08 | 2022-10-05 | 삼성전자주식회사 | 객체 인식 장치 및 방법 |
US9609307B1 (en) * | 2015-09-17 | 2017-03-28 | Legend3D, Inc. | Method of converting 2D video to 3D video using machine learning |
KR101803471B1 (ko) * | 2016-02-15 | 2017-12-01 | 성균관대학교 산학협력단 | 컨볼루션 신경망 기반의 영상 패턴화를 이용한 딥러닝 시스템 및 이를 이용한 영상 학습방법 |
KR101780057B1 (ko) | 2016-08-02 | 2017-09-19 | 한양대학교 에리카산학협력단 | 고해상도 영상 복원 방법 및 장치 |
CN106791927A (zh) | 2016-12-23 | 2017-05-31 | 福建帝视信息科技有限公司 | 一种基于深度学习的视频增强与传输方法 |
-
2019
- 2019-04-22 KR KR1020190046955A patent/KR102190483B1/ko active IP Right Grant
- 2019-04-22 KR KR1020190046957A patent/KR102179436B1/ko active IP Right Grant
- 2019-04-22 KR KR1020190046953A patent/KR102082815B1/ko active IP Right Grant
- 2019-04-22 KR KR1020190046954A patent/KR102082816B1/ko active IP Right Grant
- 2019-04-23 US US17/050,371 patent/US11095925B2/en active Active
- 2019-04-23 EP EP19792005.1A patent/EP3787302A4/en active Pending
- 2019-04-23 JP JP2020560196A patent/JP7385286B2/ja active Active
- 2019-04-23 US US16/618,335 patent/US20210160556A1/en not_active Abandoned
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007036789A (ja) | 2005-07-28 | 2007-02-08 | Casio Comput Co Ltd | コンテンツ再生装置、コンテンツ配信装置及びプログラム |
WO2007029443A1 (ja) | 2005-09-09 | 2007-03-15 | Matsushita Electric Industrial Co., Ltd. | 画像処理方法、画像記録方法、画像処理装置および画像ファイルフォーマット |
US20170347061A1 (en) | 2015-02-19 | 2017-11-30 | Magic Pony Technology Limited | Machine Learning for Visual Processing |
JP2017103744A (ja) | 2015-12-04 | 2017-06-08 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | 画像復号方法、画像符号化方法、画像復号装置、画像符号化装置、及び画像符号化復号装置 |
JP2017195429A (ja) | 2016-04-18 | 2017-10-26 | ルネサスエレクトロニクス株式会社 | 画像処理システム、画像処理方法及び画像送信装置 |
US20170346865A1 (en) | 2016-05-31 | 2017-11-30 | Ooyala, Inc. | Limiting key request rates for streaming media |
JP6276901B1 (ja) | 2017-05-26 | 2018-02-07 | 楽天株式会社 | 画像処理装置、画像処理方法、および画像処理プログラム |
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US20210160556A1 (en) | 2021-05-27 |
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